Sun Oct 20 20:20:46 2024 csv_reader_test(): python version: 3.10.12 numpy version: 1.26.4 csv.reader() reads information from a CSV file. Reading data from "basketball.csv" Column names are ID, Name, Position, Height, Weight, Sponsorship Earnings, Shoe Sponsor, Career Stage, Age Adam plays forward, height 192 cm, weight 218 pounds. Adam earns $561000. Adam has a shoe sponsorship. Adam's career status is veteran. Adam's age is 29. Bill plays center, height 218 cm, weight 251 pounds. Bill earns $60000. Bill does not have a shoe sponsorship. Bill's career status is mid-career. Bill's age is 35. Clay plays forward, height 197 cm, weight 221 pounds. Clay earns $1312000. Clay does not have a shoe sponsorship. Clay's career status is rookie. Clay's age is 22. Dale plays forward, height 192 cm, weight 219 pounds. Dale earns $1359000. Dale does not have a shoe sponsorship. Dale's career status is rookie. Dale's age is 22. Evan plays forward, height 198 cm, weight 223 pounds. Evan earns $362000. Evan has a shoe sponsorship. Evan's career status is veteran. Evan's age is 29. Fred plays guard, height 166 cm, weight 188 pounds. Fred earns $1536000. Fred has a shoe sponsorship. Fred's career status is rookie. Fred's age is 21. Gale plays forward, height 195 cm, weight 221 pounds. Gale earns $694000. Gale does not have a shoe sponsorship. Gale's career status is veteran. Gale's age is 25. Hank plays guard, height 182 cm, weight 199 pounds. Hank earns $1678000. Hank has a shoe sponsorship. Hank's career status is rookie. Hank's age is 21. Iain plays guard, height 189 cm, weight 199 pounds. Iain earns $385000. Iain has a shoe sponsorship. Iain's career status is mid-career. Iain's age is 27. Jake plays forward, height 205 cm, weight 232 pounds. Jake earns $1416000. Jake does not have a shoe sponsorship. Jake's career status is rookie. Jake's age is 24. Kyle plays center, height 206 cm, weight 246 pounds. Kyle earns $314000. Kyle does not have a shoe sponsorship. Kyle's career status is mid-career. Kyle's age is 29. Lyle plays guard, height 185 cm, weight 207 pounds. Lyle earns $1497000. Lyle has a shoe sponsorship. Lyle's career status is rookie. Lyle's age is 23. Mike plays guard, height 172 cm, weight 183 pounds. Mike earns $1383000. Mike has a shoe sponsorship. Mike's career status is rookie. Mike's age is 24. Nate plays guard, height 169 cm, weight 183 pounds. Nate earns $1034000. Nate has a shoe sponsorship. Nate's career status is rookie. Nate's age is 24. Odad plays guard, height 185 cm, weight 197 pounds. Odad earns $178000. Odad has a shoe sponsorship. Odad's career status is mid-career. Odad's age is 29. Pete plays forward, height 215 cm, weight 232 pounds. Pete earns $434000. Pete does not have a shoe sponsorship. Pete's career status is mid-career. Pete's age is 30. Quin plays guard, height 158 cm, weight 184 pounds. Quin earns $162000. Quin has a shoe sponsorship. Quin's career status is veteran. Quin's age is 29. Rafe plays guard, height 190 cm, weight 207 pounds. Rafe earns $648000. Rafe has a shoe sponsorship. Rafe's career status is mid-career. Rafe's age is 27. Stan plays center, height 195 cm, weight 235 pounds. Stan earns $481000. Stan does not have a shoe sponsorship. Stan's career status is mid-career. Stan's age is 28. Trig plays guard, height 192 cm, weight 200 pounds. Trig earns $427000. Trig has a shoe sponsorship. Trig's career status is mid-career. Trig's age is 32. Unit plays forward, height 202 cm, weight 220 pounds. Unit earns $542000. Unit does not have a shoe sponsorship. Unit's career status is mid-career. Unit's age is 31. Vole plays forward, height 184 cm, weight 213 pounds. Vole earns $12000. Vole does not have a shoe sponsorship. Vole's career status is mid-career. Vole's age is 32. Wade plays forward, height 190 cm, weight 215 pounds. Wade earns $1179000. Wade does not have a shoe sponsorship. Wade's career status is rookie. Wade's age is 22. Xand plays guard, height 178 cm, weight 193 pounds. Xand earns $1078000. Xand does not have a shoe sponsorship. Xand's career status is rookie. Xand's age is 21. Yang plays guard, height 185 cm, weight 200 pounds. Yang earns $213000. Yang has a shoe sponsorship. Yang's career status is mid-career. Yang's age is 31. Zeke plays forward, height 191 cm, weight 218 pounds. Zeke earns $1855000. Zeke does not have a shoe sponsorship. Zeke's career status is rookie. Zeke's age is 19. Aabe plays center, height 196 cm, weight 235 pounds. Aabe earns $47000. Aabe does not have a shoe sponsorship. Aabe's career status is veteran. Aabe's age is 32. Bbeb plays forward, height 198 cm, weight 221 pounds. Bbeb earns $1409000. Bbeb does not have a shoe sponsorship. Bbeb's career status is rookie. Bbeb's age is 22. CCeb plays center, height 207 cm, weight 247 pounds. CCeb earns $1065000. CCeb does not have a shoe sponsorship. CCeb's career status is veteran. CCeb's age is 27. DDeb plays center, height 201 cm, weight 244 pounds. DDeb earns $1111000. DDeb has a shoe sponsorship. DDeb's career status is mid-career. DDeb's age is 25. Processed 31 lines. Reading data from "brc_data.csv" [' "Abha"', ' 18.0'] 2 "Abha"has mean temperature 18.0 [' "Abidjan"', ' 26.0'] 2 "Abidjan"has mean temperature 26.0 [' "Abéché"', ' 29.4'] 2 "Abéché"has mean temperature 29.4 [' "Accra"', ' 26.4'] 2 "Accra"has mean temperature 26.4 [' "Addis Ababa"', ' 16.0'] 2 "Addis Ababa"has mean temperature 16.0 [' "Adelaide"', ' 17.3'] 2 "Adelaide"has mean temperature 17.3 [' "Aden"', ' 29.1'] 2 "Aden"has mean temperature 29.1 [' "Ahvaz"', ' 25.4'] 2 "Ahvaz"has mean temperature 25.4 [' "Albuquerque"', ' 14.0'] 2 "Albuquerque"has mean temperature 14.0 [' "Alexandra"', ' 11.0'] 2 "Alexandra"has mean temperature 11.0 [' "Alexandria"', ' 20.0'] 2 "Alexandria"has mean temperature 20.0 [' "Algiers"', ' 18.2'] 2 "Algiers"has mean temperature 18.2 [' "Alice Springs"', ' 21.0'] 2 "Alice Springs"has mean temperature 21.0 [' "Almaty"', ' 10.0'] 2 "Almaty"has mean temperature 10.0 [' "Amsterdam"', ' 10.2'] 2 "Amsterdam"has mean temperature 10.2 [' "Anadyr"', ' -6.9'] 2 "Anadyr"has mean temperature -6.9 [' "Anchorage"', ' 2.8'] 2 "Anchorage"has mean temperature 2.8 [' "Andorra la Vella"', ' 9.8'] 2 "Andorra la Vella"has mean temperature 9.8 [' "Ankara"', ' 12.0'] 2 "Ankara"has mean temperature 12.0 [' "Antananarivo"', ' 17.9'] 2 "Antananarivo"has mean temperature 17.9 [' "Antsiranana"', ' 25.2'] 2 "Antsiranana"has mean temperature 25.2 [' "Arkhangelsk"', ' 1.3'] 2 "Arkhangelsk"has mean temperature 1.3 [' "Ashgabat"', ' 17.1'] 2 "Ashgabat"has mean temperature 17.1 [' "Asmara"', ' 15.6'] 2 "Asmara"has mean temperature 15.6 [' "Assab"', ' 30.5'] 2 "Assab"has mean temperature 30.5 [' "Astana"', ' 3.5'] 2 "Astana"has mean temperature 3.5 [' "Athens"', ' 19.2'] 2 "Athens"has mean temperature 19.2 [' "Atlanta"', ' 17.0'] 2 "Atlanta"has mean temperature 17.0 [' "Auckland"', ' 15.2'] 2 "Auckland"has mean temperature 15.2 [' "Austin"', ' 20.7'] 2 "Austin"has mean temperature 20.7 [' "Baghdad"', ' 22.77'] 2 "Baghdad"has mean temperature 22.77 [' "Baguio"', ' 19.5'] 2 "Baguio"has mean temperature 19.5 [' "Baku"', ' 15.1'] 2 "Baku"has mean temperature 15.1 [' "Baltimore"', ' 13.1'] 2 "Baltimore"has mean temperature 13.1 [' "Bamako"', ' 27.8'] 2 "Bamako"has mean temperature 27.8 [' "Bangkok"', ' 28.6'] 2 "Bangkok"has mean temperature 28.6 [' "Bangui"', ' 26.0'] 2 "Bangui"has mean temperature 26.0 [' "Banjul"', ' 26.0'] 2 "Banjul"has mean temperature 26.0 [' "Barcelona"', ' 18.2'] 2 "Barcelona"has mean temperature 18.2 [' "Bata"', ' 25.1'] 2 "Bata"has mean temperature 25.1 [' "Batumi"', ' 14.0'] 2 "Batumi"has mean temperature 14.0 [' "Beijing"', ' 12.9'] 2 "Beijing"has mean temperature 12.9 [' "Beirut"', ' 20.9'] 2 "Beirut"has mean temperature 20.9 [' "Belgrade"', ' 12.5'] 2 "Belgrade"has mean temperature 12.5 [' "Belize City"', ' 26.7'] 2 "Belize City"has mean temperature 26.7 [' "Benghazi"', ' 19.9'] 2 "Benghazi"has mean temperature 19.9 [' "Bergen"', ' 7.7'] 2 "Bergen"has mean temperature 7.7 [' "Berlin"', ' 10.3'] 2 "Berlin"has mean temperature 10.3 [' "Bilbao"', ' 14.7'] 2 "Bilbao"has mean temperature 14.7 [' "Birao"', ' 26.5'] 2 "Birao"has mean temperature 26.5 [' "Bishkek"', ' 11.3'] 2 "Bishkek"has mean temperature 11.3 [' "Bissau"', ' 27.0'] 2 "Bissau"has mean temperature 27.0 [' "Blantyre"', ' 22.2'] 2 "Blantyre"has mean temperature 22.2 [' "Bloemfontein"', ' 15.6'] 2 "Bloemfontein"has mean temperature 15.6 [' "Boise"', ' 11.4'] 2 "Boise"has mean temperature 11.4 [' "Bordeaux"', ' 14.2'] 2 "Bordeaux"has mean temperature 14.2 [' "Bosaso"', ' 30.0'] 2 "Bosaso"has mean temperature 30.0 [' "Boston"', ' 10.9'] 2 "Boston"has mean temperature 10.9 [' "Bouaké"', ' 26.0'] 2 "Bouaké"has mean temperature 26.0 [' "Bratislava"', ' 10.5'] 2 "Bratislava"has mean temperature 10.5 [' "Brazzaville"', ' 25.0'] 2 "Brazzaville"has mean temperature 25.0 [' "Bridgetown"', ' 27.0'] 2 "Bridgetown"has mean temperature 27.0 [' "Brisbane"', ' 21.4'] 2 "Brisbane"has mean temperature 21.4 [' "Brussels"', ' 10.5'] 2 "Brussels"has mean temperature 10.5 [' "Bucharest"', ' 10.8'] 2 "Bucharest"has mean temperature 10.8 [' "Budapest"', ' 11.3'] 2 "Budapest"has mean temperature 11.3 [' "Bujumbura"', ' 23.8'] 2 "Bujumbura"has mean temperature 23.8 [' "Bulawayo"', ' 18.9'] 2 "Bulawayo"has mean temperature 18.9 [' "Burnie"', ' 13.1'] 2 "Burnie"has mean temperature 13.1 [' "Busan"', ' 15.0'] 2 "Busan"has mean temperature 15.0 [' "Cabo San Lucas"', ' 23.9'] 2 "Cabo San Lucas"has mean temperature 23.9 [' "Cairns"', ' 25.0'] 2 "Cairns"has mean temperature 25.0 [' "Cairo"', ' 21.4'] 2 "Cairo"has mean temperature 21.4 [' "Calgary"', ' 4.4'] 2 "Calgary"has mean temperature 4.4 [' "Canberra"', ' 13.1'] 2 "Canberra"has mean temperature 13.1 [' "Cape Town"', ' 16.2'] 2 "Cape Town"has mean temperature 16.2 [' "Changsha"', ' 17.4'] 2 "Changsha"has mean temperature 17.4 [' "Charlotte"', ' 16.1'] 2 "Charlotte"has mean temperature 16.1 [' "Chiang Mai"', ' 25.8'] 2 "Chiang Mai"has mean temperature 25.8 [' "Chicago"', ' 9.8'] 2 "Chicago"has mean temperature 9.8 [' "Chihuahua"', ' 18.6'] 2 "Chihuahua"has mean temperature 18.6 [' "Chișinău"', ' 10.2'] 2 "Chișinău"has mean temperature 10.2 [' "Chittagong"', ' 25.9'] 2 "Chittagong"has mean temperature 25.9 [' "Chongqing"', ' 18.6'] 2 "Chongqing"has mean temperature 18.6 [' "Christchurch"', ' 12.2'] 2 "Christchurch"has mean temperature 12.2 [' "City of San Marino"', ' 11.8'] 2 "City of San Marino"has mean temperature 11.8 [' "Colombo"', ' 27.4'] 2 "Colombo"has mean temperature 27.4 [' "Columbus"', ' 11.7'] 2 "Columbus"has mean temperature 11.7 [' "Conakry"', ' 26.4'] 2 "Conakry"has mean temperature 26.4 [' "Copenhagen"', ' 9.1'] 2 "Copenhagen"has mean temperature 9.1 [' "Cotonou"', ' 27.2'] 2 "Cotonou"has mean temperature 27.2 [' "Cracow"', ' 9.3'] 2 "Cracow"has mean temperature 9.3 [' "Da Lat"', ' 17.9'] 2 "Da Lat"has mean temperature 17.9 [' "Da Nang"', ' 25.8'] 2 "Da Nang"has mean temperature 25.8 [' "Dakar"', ' 24.0'] 2 "Dakar"has mean temperature 24.0 [' "Dallas"', ' 19.0'] 2 "Dallas"has mean temperature 19.0 [' "Damascus"', ' 17.0'] 2 "Damascus"has mean temperature 17.0 [' "Dampier"', ' 26.4'] 2 "Dampier"has mean temperature 26.4 [' "Dar es Salaam"', ' 25.8'] 2 "Dar es Salaam"has mean temperature 25.8 [' "Darwin"', ' 27.6'] 2 "Darwin"has mean temperature 27.6 [' "Denpasar"', ' 23.7'] 2 "Denpasar"has mean temperature 23.7 [' "Denver"', ' 10.4'] 2 "Denver"has mean temperature 10.4 [' "Detroit"', ' 10.0'] 2 "Detroit"has mean temperature 10.0 [' "Dhaka"', ' 25.9'] 2 "Dhaka"has mean temperature 25.9 [' "Dikson"', ' -11.1'] 2 "Dikson"has mean temperature -11.1 [' "Dili"', ' 26.6'] 2 "Dili"has mean temperature 26.6 [' "Djibouti"', ' 29.9'] 2 "Djibouti"has mean temperature 29.9 [' "Dodoma"', ' 22.7'] 2 "Dodoma"has mean temperature 22.7 [' "Dolisie"', ' 24.0'] 2 "Dolisie"has mean temperature 24.0 [' "Douala"', ' 26.7'] 2 "Douala"has mean temperature 26.7 [' "Dubai"', ' 26.9'] 2 "Dubai"has mean temperature 26.9 [' "Dublin"', ' 9.8'] 2 "Dublin"has mean temperature 9.8 [' "Dunedin"', ' 11.1'] 2 "Dunedin"has mean temperature 11.1 [' "Durban"', ' 20.6'] 2 "Durban"has mean temperature 20.6 [' "Dushanbe"', ' 14.7'] 2 "Dushanbe"has mean temperature 14.7 [' "Edinburgh"', ' 9.3'] 2 "Edinburgh"has mean temperature 9.3 [' "Edmonton"', ' 4.2'] 2 "Edmonton"has mean temperature 4.2 [' "El Paso"', ' 18.1'] 2 "El Paso"has mean temperature 18.1 [' "Entebbe"', ' 21.0'] 2 "Entebbe"has mean temperature 21.0 [' "Erbil"', ' 19.5'] 2 "Erbil"has mean temperature 19.5 [' "Erzurum"', ' 5.1'] 2 "Erzurum"has mean temperature 5.1 [' "Fairbanks"', ' -2.3'] 2 "Fairbanks"has mean temperature -2.3 [' "Fianarantsoa"', ' 17.9'] 2 "Fianarantsoa"has mean temperature 17.9 [' "Flores Petén"', ' 26.4'] 2 "Flores Petén"has mean temperature 26.4 [' "Frankfurt"', ' 10.6'] 2 "Frankfurt"has mean temperature 10.6 [' "Fresno"', ' 17.9'] 2 "Fresno"has mean temperature 17.9 [' "Fukuoka"', ' 17.0'] 2 "Fukuoka"has mean temperature 17.0 [' "Gabès"', ' 19.5'] 2 "Gabès"has mean temperature 19.5 [' "Gaborone"', ' 21.0'] 2 "Gaborone"has mean temperature 21.0 [' "Gagnoa"', ' 26.0'] 2 "Gagnoa"has mean temperature 26.0 [' "Gangtok"', ' 15.2'] 2 "Gangtok"has mean temperature 15.2 [' "Garissa"', ' 29.3'] 2 "Garissa"has mean temperature 29.3 [' "Garoua"', ' 28.3'] 2 "Garoua"has mean temperature 28.3 [' "George Town"', ' 27.9'] 2 "George Town"has mean temperature 27.9 [' "Ghanzi"', ' 21.4'] 2 "Ghanzi"has mean temperature 21.4 [' "Gjoa Haven"', ' -14.4'] 2 "Gjoa Haven"has mean temperature -14.4 [' "Guadalajara"', ' 20.9'] 2 "Guadalajara"has mean temperature 20.9 [' "Guangzhou"', ' 22.4'] 2 "Guangzhou"has mean temperature 22.4 [' "Guatemala City"', ' 20.4'] 2 "Guatemala City"has mean temperature 20.4 [' "Halifax"', ' 7.5'] 2 "Halifax"has mean temperature 7.5 [' "Hamburg"', ' 9.7'] 2 "Hamburg"has mean temperature 9.7 [' "Hamilton"', ' 13.8'] 2 "Hamilton"has mean temperature 13.8 [' "Hanga Roa"', ' 20.5'] 2 "Hanga Roa"has mean temperature 20.5 [' "Hanoi"', ' 23.6'] 2 "Hanoi"has mean temperature 23.6 [' "Harare"', ' 18.4'] 2 "Harare"has mean temperature 18.4 [' "Harbin"', ' 5.0'] 2 "Harbin"has mean temperature 5.0 [' "Hargeisa"', ' 21.7'] 2 "Hargeisa"has mean temperature 21.7 [' "Hat Yai"', ' 27.0'] 2 "Hat Yai"has mean temperature 27.0 [' "Havana"', ' 25.2'] 2 "Havana"has mean temperature 25.2 [' "Helsinki"', ' 5.9'] 2 "Helsinki"has mean temperature 5.9 [' "Heraklion"', ' 18.9'] 2 "Heraklion"has mean temperature 18.9 [' "Hiroshima"', ' 16.3'] 2 "Hiroshima"has mean temperature 16.3 [' "Ho Chi Minh City"', ' 27.4'] 2 "Ho Chi Minh City"has mean temperature 27.4 [' "Hobart"', ' 12.7'] 2 "Hobart"has mean temperature 12.7 [' "Hong Kong"', ' 23.3'] 2 "Hong Kong"has mean temperature 23.3 [' "Honiara"', ' 26.5'] 2 "Honiara"has mean temperature 26.5 [' "Honolulu"', ' 25.4'] 2 "Honolulu"has mean temperature 25.4 [' "Houston"', ' 20.8'] 2 "Houston"has mean temperature 20.8 [' "Ifrane"', ' 11.4'] 2 "Ifrane"has mean temperature 11.4 [' "Indianapolis"', ' 11.8'] 2 "Indianapolis"has mean temperature 11.8 [' "Iqaluit"', ' -9.3'] 2 "Iqaluit"has mean temperature -9.3 [' "Irkutsk"', ' 1.0'] 2 "Irkutsk"has mean temperature 1.0 [' "Istanbul"', ' 13.9'] 2 "Istanbul"has mean temperature 13.9 [' "İzmir"', ' 17.9'] 2 "İzmir"has mean temperature 17.9 [' "Jacksonville"', ' 20.3'] 2 "Jacksonville"has mean temperature 20.3 [' "Jakarta"', ' 26.7'] 2 "Jakarta"has mean temperature 26.7 [' "Jayapura"', ' 27.0'] 2 "Jayapura"has mean temperature 27.0 [' "Jerusalem"', ' 18.3'] 2 "Jerusalem"has mean temperature 18.3 [' "Johannesburg"', ' 15.5'] 2 "Johannesburg"has mean temperature 15.5 [' "Jos"', ' 22.8'] 2 "Jos"has mean temperature 22.8 [' "Juba"', ' 27.8'] 2 "Juba"has mean temperature 27.8 [' "Kabul"', ' 12.1'] 2 "Kabul"has mean temperature 12.1 [' "Kampala"', ' 20.0'] 2 "Kampala"has mean temperature 20.0 [' "Kandi"', ' 27.7'] 2 "Kandi"has mean temperature 27.7 [' "Kankan"', ' 26.5'] 2 "Kankan"has mean temperature 26.5 [' "Kano"', ' 26.4'] 2 "Kano"has mean temperature 26.4 [' "Kansas City"', ' 12.5'] 2 "Kansas City"has mean temperature 12.5 [' "Karachi"', ' 26.0'] 2 "Karachi"has mean temperature 26.0 [' "Karonga"', ' 24.4'] 2 "Karonga"has mean temperature 24.4 [' "Kathmandu"', ' 18.3'] 2 "Kathmandu"has mean temperature 18.3 [' "Khartoum"', ' 29.9'] 2 "Khartoum"has mean temperature 29.9 [' "Kingston"', ' 27.4'] 2 "Kingston"has mean temperature 27.4 [' "Kinshasa"', ' 25.3'] 2 "Kinshasa"has mean temperature 25.3 [' "Kolkata"', ' 26.7'] 2 "Kolkata"has mean temperature 26.7 [' "Kuala Lumpur"', ' 27.3'] 2 "Kuala Lumpur"has mean temperature 27.3 [' "Kumasi"', ' 26.0'] 2 "Kumasi"has mean temperature 26.0 [' "Kunming"', ' 15.7'] 2 "Kunming"has mean temperature 15.7 [' "Kuopio"', ' 3.4'] 2 "Kuopio"has mean temperature 3.4 [' "Kuwait City"', ' 25.7'] 2 "Kuwait City"has mean temperature 25.7 [' "Kyiv"', ' 8.4'] 2 "Kyiv"has mean temperature 8.4 [' "Kyoto"', ' 15.8'] 2 "Kyoto"has mean temperature 15.8 [' "La Ceiba"', ' 26.2'] 2 "La Ceiba"has mean temperature 26.2 [' "La Paz"', ' 23.7'] 2 "La Paz"has mean temperature 23.7 [' "Lagos"', ' 26.8'] 2 "Lagos"has mean temperature 26.8 [' "Lahore"', ' 24.3'] 2 "Lahore"has mean temperature 24.3 [' "Lake Havasu City"', ' 23.7'] 2 "Lake Havasu City"has mean temperature 23.7 [' "Lake Tekapo"', ' 8.7'] 2 "Lake Tekapo"has mean temperature 8.7 [' "Las Palmas de Gran Canaria"', ' 21.2'] 2 "Las Palmas de Gran Canaria"has mean temperature 21.2 [' "Las Vegas"', ' 20.3'] 2 "Las Vegas"has mean temperature 20.3 [' "Launceston"', ' 13.1'] 2 "Launceston"has mean temperature 13.1 [' "Lhasa"', ' 7.6'] 2 "Lhasa"has mean temperature 7.6 [' "Libreville"', ' 25.9'] 2 "Libreville"has mean temperature 25.9 [' "Lisbon"', ' 17.5'] 2 "Lisbon"has mean temperature 17.5 [' "Livingstone"', ' 21.8'] 2 "Livingstone"has mean temperature 21.8 [' "Ljubljana"', ' 10.9'] 2 "Ljubljana"has mean temperature 10.9 [' "Lodwar"', ' 29.3'] 2 "Lodwar"has mean temperature 29.3 [' "Lomé"', ' 26.9'] 2 "Lomé"has mean temperature 26.9 [' "London"', ' 11.3'] 2 "London"has mean temperature 11.3 [' "Los Angeles"', ' 18.6'] 2 "Los Angeles"has mean temperature 18.6 [' "Louisville"', ' 13.9'] 2 "Louisville"has mean temperature 13.9 [' "Luanda"', ' 25.8'] 2 "Luanda"has mean temperature 25.8 [' "Lubumbashi"', ' 20.8'] 2 "Lubumbashi"has mean temperature 20.8 [' "Lusaka"', ' 19.9'] 2 "Lusaka"has mean temperature 19.9 [' "Luxembourg City"', ' 9.3'] 2 "Luxembourg City"has mean temperature 9.3 [' "Lviv"', ' 7.8'] 2 "Lviv"has mean temperature 7.8 [' "Lyon"', ' 12.5'] 2 "Lyon"has mean temperature 12.5 [' "Madrid"', ' 15.0'] 2 "Madrid"has mean temperature 15.0 [' "Mahajanga"', ' 26.3'] 2 "Mahajanga"has mean temperature 26.3 [' "Makassar"', ' 26.7'] 2 "Makassar"has mean temperature 26.7 [' "Makurdi"', ' 26.0'] 2 "Makurdi"has mean temperature 26.0 [' "Malabo"', ' 26.3'] 2 "Malabo"has mean temperature 26.3 [' "Malé"', ' 28.0'] 2 "Malé"has mean temperature 28.0 [' "Managua"', ' 27.3'] 2 "Managua"has mean temperature 27.3 [' "Manama"', ' 26.5'] 2 "Manama"has mean temperature 26.5 [' "Mandalay"', ' 28.0'] 2 "Mandalay"has mean temperature 28.0 [' "Mango"', ' 28.1'] 2 "Mango"has mean temperature 28.1 [' "Manila"', ' 28.4'] 2 "Manila"has mean temperature 28.4 [' "Maputo"', ' 22.8'] 2 "Maputo"has mean temperature 22.8 [' "Marrakesh"', ' 19.6'] 2 "Marrakesh"has mean temperature 19.6 [' "Marseille"', ' 15.8'] 2 "Marseille"has mean temperature 15.8 [' "Maun"', ' 22.4'] 2 "Maun"has mean temperature 22.4 [' "Medan"', ' 26.5'] 2 "Medan"has mean temperature 26.5 [' "Mek\'ele"', ' 22.7'] 2 "Mek'ele"has mean temperature 22.7 [' "Melbourne"', ' 15.1'] 2 "Melbourne"has mean temperature 15.1 [' "Memphis"', ' 17.2'] 2 "Memphis"has mean temperature 17.2 [' "Mexicali"', ' 23.1'] 2 "Mexicali"has mean temperature 23.1 [' "Mexico City"', ' 17.5'] 2 "Mexico City"has mean temperature 17.5 [' "Miami"', ' 24.9'] 2 "Miami"has mean temperature 24.9 [' "Milan"', ' 13.0'] 2 "Milan"has mean temperature 13.0 [' "Milwaukee"', ' 8.9'] 2 "Milwaukee"has mean temperature 8.9 [' "Minneapolis"', ' 7.8'] 2 "Minneapolis"has mean temperature 7.8 [' "Minsk"', ' 6.7'] 2 "Minsk"has mean temperature 6.7 [' "Mogadishu"', ' 27.1'] 2 "Mogadishu"has mean temperature 27.1 [' "Mombasa"', ' 26.3'] 2 "Mombasa"has mean temperature 26.3 [' "Monaco"', ' 16.4'] 2 "Monaco"has mean temperature 16.4 [' "Moncton"', ' 6.1'] 2 "Moncton"has mean temperature 6.1 [' "Monterrey"', ' 22.3'] 2 "Monterrey"has mean temperature 22.3 [' "Montreal"', ' 6.8'] 2 "Montreal"has mean temperature 6.8 [' "Moscow"', ' 5.8'] 2 "Moscow"has mean temperature 5.8 [' "Mumbai"', ' 27.1'] 2 "Mumbai"has mean temperature 27.1 [' "Murmansk"', ' 0.6'] 2 "Murmansk"has mean temperature 0.6 [' "Muscat"', ' 28.0'] 2 "Muscat"has mean temperature 28.0 [' "Mzuzu"', ' 17.7'] 2 "Mzuzu"has mean temperature 17.7 [' "N\'Djamena"', ' 28.3'] 2 "N'Djamena"has mean temperature 28.3 [' "Naha"', ' 23.1'] 2 "Naha"has mean temperature 23.1 [' "Nairobi"', ' 17.8'] 2 "Nairobi"has mean temperature 17.8 [' "Nakhon Ratchasima"', ' 27.3'] 2 "Nakhon Ratchasima"has mean temperature 27.3 [' "Napier"', ' 14.6'] 2 "Napier"has mean temperature 14.6 [' "Napoli"', ' 15.9'] 2 "Napoli"has mean temperature 15.9 [' "Nashville"', ' 15.4'] 2 "Nashville"has mean temperature 15.4 [' "Nassau"', ' 24.6'] 2 "Nassau"has mean temperature 24.6 [' "Ndola"', ' 20.3'] 2 "Ndola"has mean temperature 20.3 [' "New Delhi"', ' 25.0'] 2 "New Delhi"has mean temperature 25.0 [' "New Orleans"', ' 20.7'] 2 "New Orleans"has mean temperature 20.7 [' "New York City"', ' 12.9'] 2 "New York City"has mean temperature 12.9 [' "Ngaoundéré"', ' 22.0'] 2 "Ngaoundéré"has mean temperature 22.0 [' "Niamey"', ' 29.3'] 2 "Niamey"has mean temperature 29.3 [' "Nicosia"', ' 19.7'] 2 "Nicosia"has mean temperature 19.7 [' "Niigata"', ' 13.9'] 2 "Niigata"has mean temperature 13.9 [' "Nouadhibou"', ' 21.3'] 2 "Nouadhibou"has mean temperature 21.3 [' "Nouakchott"', ' 25.7'] 2 "Nouakchott"has mean temperature 25.7 [' "Novosibirsk"', ' 1.7'] 2 "Novosibirsk"has mean temperature 1.7 [' "Nuuk"', ' -1.4'] 2 "Nuuk"has mean temperature -1.4 [' "Odesa"', ' 10.7'] 2 "Odesa"has mean temperature 10.7 [' "Odienné"', ' 26.0'] 2 "Odienné"has mean temperature 26.0 [' "Oklahoma City"', ' 15.9'] 2 "Oklahoma City"has mean temperature 15.9 [' "Omaha"', ' 10.6'] 2 "Omaha"has mean temperature 10.6 [' "Oranjestad"', ' 28.1'] 2 "Oranjestad"has mean temperature 28.1 [' "Oslo"', ' 5.7'] 2 "Oslo"has mean temperature 5.7 [' "Ottawa"', ' 6.6'] 2 "Ottawa"has mean temperature 6.6 [' "Ouagadougou"', ' 28.3'] 2 "Ouagadougou"has mean temperature 28.3 [' "Ouahigouya"', ' 28.6'] 2 "Ouahigouya"has mean temperature 28.6 [' "Ouarzazate"', ' 18.9'] 2 "Ouarzazate"has mean temperature 18.9 [' "Oulu"', ' 2.7'] 2 "Oulu"has mean temperature 2.7 [' "Palembang"', ' 27.3'] 2 "Palembang"has mean temperature 27.3 [' "Palermo"', ' 18.5'] 2 "Palermo"has mean temperature 18.5 [' "Palm Springs"', ' 24.5'] 2 "Palm Springs"has mean temperature 24.5 [' "Palmerston North"', ' 13.2'] 2 "Palmerston North"has mean temperature 13.2 [' "Panama City"', ' 28.0'] 2 "Panama City"has mean temperature 28.0 [' "Parakou"', ' 26.8'] 2 "Parakou"has mean temperature 26.8 [' "Paris"', ' 12.3'] 2 "Paris"has mean temperature 12.3 [' "Perth"', ' 18.7'] 2 "Perth"has mean temperature 18.7 [' "Petropavlovsk-Kamchatsky"', ' 1.9'] 2 "Petropavlovsk-Kamchatsky"has mean temperature 1.9 [' "Philadelphia"', ' 13.2'] 2 "Philadelphia"has mean temperature 13.2 [' "Phnom Penh"', ' 28.3'] 2 "Phnom Penh"has mean temperature 28.3 [' "Phoenix"', ' 23.9'] 2 "Phoenix"has mean temperature 23.9 [' "Pittsburgh"', ' 10.8'] 2 "Pittsburgh"has mean temperature 10.8 [' "Podgorica"', ' 15.3'] 2 "Podgorica"has mean temperature 15.3 [' "Pointe-Noire"', ' 26.1'] 2 "Pointe-Noire"has mean temperature 26.1 [' "Pontianak"', ' 27.7'] 2 "Pontianak"has mean temperature 27.7 [' "Port Moresby"', ' 26.9'] 2 "Port Moresby"has mean temperature 26.9 [' "Port Sudan"', ' 28.4'] 2 "Port Sudan"has mean temperature 28.4 [' "Port Vila"', ' 24.3'] 2 "Port Vila"has mean temperature 24.3 [' "Port-Gentil"', ' 26.0'] 2 "Port-Gentil"has mean temperature 26.0 [' "Portland {OR}"', ' 12.4'] 2 "Portland {OR}"has mean temperature 12.4 [' "Porto"', ' 15.7'] 2 "Porto"has mean temperature 15.7 [' "Prague"', ' 8.4'] 2 "Prague"has mean temperature 8.4 [' "Praia"', ' 24.4'] 2 "Praia"has mean temperature 24.4 [' "Pretoria"', ' 18.2'] 2 "Pretoria"has mean temperature 18.2 [' "Pyongyang"', ' 10.8'] 2 "Pyongyang"has mean temperature 10.8 [' "Rabat"', ' 17.2'] 2 "Rabat"has mean temperature 17.2 [' "Rangpur"', ' 24.4'] 2 "Rangpur"has mean temperature 24.4 [' "Reggane"', ' 28.3'] 2 "Reggane"has mean temperature 28.3 [' "Reykjavík"', ' 4.3'] 2 "Reykjavík"has mean temperature 4.3 [' "Riga"', ' 6.2'] 2 "Riga"has mean temperature 6.2 [' "Riyadh"', ' 26.0'] 2 "Riyadh"has mean temperature 26.0 [' "Rome"', ' 15.2'] 2 "Rome"has mean temperature 15.2 [' "Roseau"', ' 26.2'] 2 "Roseau"has mean temperature 26.2 [' "Rostov-on-Don"', ' 9.9'] 2 "Rostov-on-Don"has mean temperature 9.9 [' "Sacramento"', ' 16.3'] 2 "Sacramento"has mean temperature 16.3 [' "Saint Petersburg"', ' 5.8'] 2 "Saint Petersburg"has mean temperature 5.8 [' "Saint-Pierre"', ' 5.7'] 2 "Saint-Pierre"has mean temperature 5.7 [' "Salt Lake City"', ' 11.6'] 2 "Salt Lake City"has mean temperature 11.6 [' "San Antonio"', ' 20.8'] 2 "San Antonio"has mean temperature 20.8 [' "San Diego"', ' 17.8'] 2 "San Diego"has mean temperature 17.8 [' "San Francisco"', ' 14.6'] 2 "San Francisco"has mean temperature 14.6 [' "San Jose"', ' 16.4'] 2 "San Jose"has mean temperature 16.4 [' "San José"', ' 22.6'] 2 "San José"has mean temperature 22.6 [' "San Juan"', ' 27.2'] 2 "San Juan"has mean temperature 27.2 [' "San Salvador"', ' 23.1'] 2 "San Salvador"has mean temperature 23.1 [' "Sana\'a"', ' 20.0'] 2 "Sana'a"has mean temperature 20.0 [' "Santo Domingo"', ' 25.9'] 2 "Santo Domingo"has mean temperature 25.9 [' "Sapporo"', ' 8.9'] 2 "Sapporo"has mean temperature 8.9 [' "Sarajevo"', ' 10.1'] 2 "Sarajevo"has mean temperature 10.1 [' "Saskatoon"', ' 3.3'] 2 "Saskatoon"has mean temperature 3.3 [' "Seattle"', ' 11.3'] 2 "Seattle"has mean temperature 11.3 [' "Ségou"', ' 28.0'] 2 "Ségou"has mean temperature 28.0 [' "Seoul"', ' 12.5'] 2 "Seoul"has mean temperature 12.5 [' "Seville"', ' 19.2'] 2 "Seville"has mean temperature 19.2 [' "Shanghai"', ' 16.7'] 2 "Shanghai"has mean temperature 16.7 [' "Singapore"', ' 27.0'] 2 "Singapore"has mean temperature 27.0 [' "Skopje"', ' 12.4'] 2 "Skopje"has mean temperature 12.4 [' "Sochi"', ' 14.2'] 2 "Sochi"has mean temperature 14.2 [' "Sofia"', ' 10.6'] 2 "Sofia"has mean temperature 10.6 [' "Sokoto"', ' 28.0'] 2 "Sokoto"has mean temperature 28.0 [' "Split"', ' 16.1'] 2 "Split"has mean temperature 16.1 [' "St. John\'s"', ' 5.0'] 2 "St. John's"has mean temperature 5.0 [' "St. Louis"', ' 13.9'] 2 "St. Louis"has mean temperature 13.9 [' "Stockholm"', ' 6.6'] 2 "Stockholm"has mean temperature 6.6 [' "Surabaya"', ' 27.1'] 2 "Surabaya"has mean temperature 27.1 [' "Suva"', ' 25.6'] 2 "Suva"has mean temperature 25.6 [' "Suwałki"', ' 7.2'] 2 "Suwałki"has mean temperature 7.2 [' "Sydney"', ' 17.7'] 2 "Sydney"has mean temperature 17.7 [' "Tabora"', ' 23.0'] 2 "Tabora"has mean temperature 23.0 [' "Tabriz"', ' 12.6'] 2 "Tabriz"has mean temperature 12.6 [' "Taipei"', ' 23.0'] 2 "Taipei"has mean temperature 23.0 [' "Tallinn"', ' 6.4'] 2 "Tallinn"has mean temperature 6.4 [' "Tamale"', ' 27.9'] 2 "Tamale"has mean temperature 27.9 [' "Tamanrasset"', ' 21.7'] 2 "Tamanrasset"has mean temperature 21.7 [' "Tampa"', ' 22.9'] 2 "Tampa"has mean temperature 22.9 [' "Tashkent"', ' 14.8'] 2 "Tashkent"has mean temperature 14.8 [' "Tauranga"', ' 14.8'] 2 "Tauranga"has mean temperature 14.8 [' "Tbilisi"', ' 12.9'] 2 "Tbilisi"has mean temperature 12.9 [' "Tegucigalpa"', ' 21.7'] 2 "Tegucigalpa"has mean temperature 21.7 [' "Tehran"', ' 17.0'] 2 "Tehran"has mean temperature 17.0 [' "Tel Aviv"', ' 20.0'] 2 "Tel Aviv"has mean temperature 20.0 [' "Thessaloniki"', ' 16.0'] 2 "Thessaloniki"has mean temperature 16.0 [' "Thiès"', ' 24.0'] 2 "Thiès"has mean temperature 24.0 [' "Tijuana"', ' 17.8'] 2 "Tijuana"has mean temperature 17.8 [' "Timbuktu"', ' 28.0'] 2 "Timbuktu"has mean temperature 28.0 [' "Tirana"', ' 15.2'] 2 "Tirana"has mean temperature 15.2 [' "Toamasina"', ' 23.4'] 2 "Toamasina"has mean temperature 23.4 [' "Tokyo"', ' 15.4'] 2 "Tokyo"has mean temperature 15.4 [' "Toliara"', ' 24.1'] 2 "Toliara"has mean temperature 24.1 [' "Toluca"', ' 12.4'] 2 "Toluca"has mean temperature 12.4 [' "Toronto"', ' 9.4'] 2 "Toronto"has mean temperature 9.4 [' "Tripoli"', ' 20.0'] 2 "Tripoli"has mean temperature 20.0 [' "Tromsø"', ' 2.9'] 2 "Tromsø"has mean temperature 2.9 [' "Tucson"', ' 20.9'] 2 "Tucson"has mean temperature 20.9 [' "Tunis"', ' 18.4'] 2 "Tunis"has mean temperature 18.4 [' "Ulaanbaatar"', ' -0.4'] 2 "Ulaanbaatar"has mean temperature -0.4 [' "Upington"', ' 20.4'] 2 "Upington"has mean temperature 20.4 [' "Ürümqi"', ' 7.4'] 2 "Ürümqi"has mean temperature 7.4 [' "Vaduz"', ' 10.1'] 2 "Vaduz"has mean temperature 10.1 [' "Valencia"', ' 18.3'] 2 "Valencia"has mean temperature 18.3 [' "Valletta"', ' 18.8'] 2 "Valletta"has mean temperature 18.8 [' "Vancouver"', ' 10.4'] 2 "Vancouver"has mean temperature 10.4 [' "Veracruz"', ' 25.4'] 2 "Veracruz"has mean temperature 25.4 [' "Vienna"', ' 10.4'] 2 "Vienna"has mean temperature 10.4 [' "Vientiane"', ' 25.9'] 2 "Vientiane"has mean temperature 25.9 [' "Villahermosa"', ' 27.1'] 2 "Villahermosa"has mean temperature 27.1 [' "Vilnius"', ' 6.0'] 2 "Vilnius"has mean temperature 6.0 [' "Virginia Beach"', ' 15.8'] 2 "Virginia Beach"has mean temperature 15.8 [' "Vladivostok"', ' 4.9'] 2 "Vladivostok"has mean temperature 4.9 [' "Warsaw"', ' 8.5'] 2 "Warsaw"has mean temperature 8.5 [' "Washington DC"', ' 14.6'] 2 "Washington DC"has mean temperature 14.6 [' "Wau"', ' 27.8'] 2 "Wau"has mean temperature 27.8 [' "Wellington"', ' 12.9'] 2 "Wellington"has mean temperature 12.9 [' "Whitehorse"', ' -0.1'] 2 "Whitehorse"has mean temperature -0.1 [' "Wichita"', ' 13.9'] 2 "Wichita"has mean temperature 13.9 [' "Willemstad"', ' 28.0'] 2 "Willemstad"has mean temperature 28.0 [' "Winnipeg"', ' 3.0'] 2 "Winnipeg"has mean temperature 3.0 [' "Wrocław"', ' 9.6'] 2 "Wrocław"has mean temperature 9.6 [' "Xi\'an"', ' 14.1'] 2 "Xi'an"has mean temperature 14.1 [' "Yakutsk"', ' -8.8'] 2 "Yakutsk"has mean temperature -8.8 [' "Yangon"', ' 27.5'] 2 "Yangon"has mean temperature 27.5 [' "Yaoundé"', ' 23.8'] 2 "Yaoundé"has mean temperature 23.8 [' "Yellowknife"', ' -4.3'] 2 "Yellowknife"has mean temperature -4.3 [' "Yerevan"', ' 12.4'] 2 "Yerevan"has mean temperature 12.4 [' "Yinchuan"', ' 9.0'] 2 "Yinchuan"has mean temperature 9.0 [' "Zagreb"', ' 10.7'] 2 "Zagreb"has mean temperature 10.7 [' "Zanzibar City"', ' 26.0'] 2 "Zanzibar City"has mean temperature 26.0 [' "Zürich"', ' 9.3'] 2 "Zürich"has mean temperature 9.3 [] 0